These papers are made available for personal use only, subject to author's and publisher's copyright.
Journal Publications
Daoqiang Zhang*, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu*. Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE transactions on medical imaging, 2018, 37(7): 1711-1722. [download]
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang*. WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. IEEE Transactions on Cybernetics, 2018, 48(2): 486-499. [download]
Biao Jie, Mingxia Liu, Daoqiang Zhang*, Dinggang Shen*. Sub-network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Transactions on Image Processing, 2018, 27(5): 2340-2353. [download]
Qi Zhu, Jiuwen Zhu, Mingxia Liu, Xijia Xu, Daoqiang Zhang. Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access, 2018, 6: 78065-78076. [download]
Daoqiang Zhang, Liyang Tu, Long-Jiang Zhang, Biao Jie, Guang-Ming Lu. Subnetwork mining on functional connectivity network for classification of minimal hepatic encephalopathy. Brain imaging and behavior, 2018, 12(3): 901-911. [download]
Xiaoke Hao, Xiaohui Yao, Shannon L Risacher, Andrew J Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang. Identifying candidate genetic associations with MRI-derived AD-related ROI via tree-guided sparse learning. IEEE/ACM transactions on computational biology and bioinformatics, 2018, 16(6): 1986-1996. [download]
Conference Publications
Chen Zu, Daoqiang Zhang. Sparsity Preserving Canonical Correlation Analysis. Chinese Conference on Pattern Recognition. Heidelberg Berlin: Springer, 2012: 56-63. [download]
Linling Zhu, Linsong Miao, Daoqiang Zhang. Iterative laplacian score for feature selection. Chinese Conference on Pattern Recognition. Heidelberg Berlin: Springer, 2012: 80-87. [download]
Qimiao Guo, Daoqiang Zhang. Semi-Supervised Sparse Label Fusion for Multi-atlas Based Segmentation. Chinese Conference on Pattern Recognition. Heidelberg Berlin: Springer, 2012: 471-479. [download]
Linsong Miao, Mingxia Liu, Daoqiang Zhang*. Cost-sensitive feature selection with application in software defect prediction. Proceedings of the 21st International Conference onPattern Recognition (ICPR2012). IEEE, 2012: 967-970. [download]
Mingxia Liu, Dan Sun, Daoqiang Zhang*. Sparsity Score: A new filter feature selection method based on graph. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). IEEE, 2012: 959-962. [download]
Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen. Sparse patch-based label fusion for multi-atlas segmentation. International Workshop on Multimodal Brain Image Analysis. Heidelberg Berlin: Springer, 2012: 94-102. [download]
Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen. Structural feature selection for connectivity network-based MCI diagnosis. International Workshop on Multimodal Brain Image Analysis. Heidelberg Berlin: Springer, 2012: 175-184. [download]
Daoqiang Zhang, Jun Liu, Dinggang Shen. Temporally-constrained group sparse learning for longitudinal data analysis. International Conference on Medical Image Computing and Computer-Assisted Intervention. Heidelberg Berlin: Springer, 2012: 264-271. [download]
Bo Cheng, Daoqiang Zhang, Dinggang Shen. Domain transfer learning for MCI conversion prediction. International Conference on Medical Image Computing and Computer-Assisted Intervention. Heidelberg Berlin: Springer, 2012: 82-90. [download]
Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen. Tree-guided sparse coding for brain disease classification. The 2012 Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012). Heidelberg Berlin: Springer, 2012: 239-247. [download]
Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen. Constrained sparse functional connectivity networks for MCI classification. The 2012 International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012). Heidelberg Berlin: Springer, 2012: 212-219. [download]
Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen. Hierarchical ensemble of multi-level classifiers for diagnosis of alzheimer's disease. The 2012 International Workshop on Machine Learning in Medical Imaging (MLMI 2012). Heidelberg Berlin: Springer, 2012: 27-35. [download]
Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen. Group sparsity constrained automatic brain label propagation. The 2012 International Workshop on Machine Learning in Medical Imaging (MLMI 2012). Heidelberg Berlin: Springer, 2012: 45-53. [download]
Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen. Transductive prostate segmentation for CT image guided radiotherapy. The 2012 International Workshop on Machine Learning in Medical Imaging (MLMI 2012). Heidelberg Berlin: Springer, 2012: 1-9. [download]
Mingxia Liu, SongCan Chen, Daoqiang Zhang. Learning attribute relation in attribute-based zero-shot classification. International Conference on Intelligent Science and Intelligent Data Engineering (IScIDE 2012). Heidelberg Berlin: Springer, 2012: 514-521. [download]
